This weekly update shows big changes happening with multi-agent AI systems around the world. These are smart computer programs that work together like a team to solve problems.

Companies are now using swarms of AI agents to handle different jobs at the same time. In cybersecurity, these AI teams can look at thousands of alerts and pick out only the most important ones. This helps human workers focus on what really matters instead of checking every single warning.

Business process services are getting smarter too. Instead of following the same steps every time, AI agents can now make their own decisions and change their approach when needed. This is like having a self-driving car that knows where to go and can find new routes when there's traffic.

However, experts found that many multi-agent systems fail because they can't remember things properly. When AI agents can't share memories, they end up doing the same work twice or making decisions based on old information. This wastes time and money.

New rules are being made to check these AI systems. Since AI agents can now act on their own, companies need to make sure they're doing the right things. It's like having referees in a sports game to make sure everyone follows the rules.

Memory engineering is becoming very important. This means building special systems that help AI agents remember and share information with each other. Without good memory systems, AI teams can't work together effectively.